FSAL: A Tailor-Made Financial Sentiment Lexicon in Spanish for the Argentinian Markets (BYMA)

<p class="p1">During the last decade studies have shown that lexicon-based Sentiment Analysis of tweets combined with Machine Learning techniques can be used to enhance Algorithmic Trading strategies. The aim of the present work is to show how a specific domain lexicon in finance for...

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Bibliographic Details
Main Authors: Juan Pablo Braña, Alejandra M. J. Litterio, Alejandro Fernández
Format: Article
Language:Spanish
Published: Universidad Abierta Interamericana 2018-09-01
Series:Revista Abierta de Informática Aplicada
Subjects:
Online Access:http://portalreviscien.uai.edu.ar/ojs/index.php/RAIA/article/view/159